Jobs · Engineering

Data Scientist, New Grad

SentiLink · Chicago, IL · 1 wk ago
RemoteRemoteEngineering$120k–$220k/yrFull-time

About the role

SentiLink is seeking a Data Scientist to join our dynamic team. The ideal candidate will have a strong background in machine learning, statistics, or applied data science, with a passion for solving complex problems in the fields of fraud detection and identity verification.

Responsibilities

  • Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
  • Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
  • Research new types of fraud and develop new SentiLink products around identity verification.
  • Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
  • Write production-ready code that can be relied on for real-time decision making by our partners.
  • Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
  • Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.

Requirements

  • Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research.
  • Strong foundation in machine learning, statistics, or applied data science.
  • Experience with Python and common data science tools through coursework, research, internships, or personal projects.
  • Demonstrated ability to analyze complex problems and build data-driven solutions.
  • Strong communication skills and ability to explain technical ideas clearly.
  • Interest in learning deeply about fraud, identity, and financial risk systems.
  • Strong attention to detail and curiosity about real-world data problems.
  • Candidates must be legally authorized to work in the United States and must live in the United States.

Qualifications

  • Must be legally authorized to work in the United States and must live in the United States.

Skills

  • Python 3
  • PostgreSQL
  • AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

Benefits

  • Employer paid group health insurance for you and your dependents
  • 401(k) plan with employer match (or equivalent for non US-based roles)
  • Flexible paid time off
  • Regular company-wide in-person events
  • Home office stipend, and more!

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